Book Image

Python Social Media Analytics

By : Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk
Book Image

Python Social Media Analytics

By: Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk

Overview of this book

Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.
Table of Contents (17 chapters)
Title Page
About the Authors
About the Reviewer
Customer Feedback

Spark on the Cloud – Amazon Elastic MapReduce

Finally, now that you have learnt about Spark, let's finally look at potentially limitless scaling! We will learn how to use cloud services to deploy Spark clusters. There are many big data and data analytic service providers, such as Google or IBM Bluemix, but we will concentrate on Amazon for this chapter. We will provide screenshots of the process because sometimes such platforms can get a little overwhelming. The following are the steps for the process:

  1. First, we need to create an Amazon Cloud account if you don't already have one. Go to and click on create a free account:
  1. Provide your credentials and click on Create account.
  2. Next, we have to create a Key Pair. Key Pairs are the basic authentication method on Amazon.


  1. First, we need to go the EC2 services dashboard:
  1. Then, click on Key Pairs in the side menu.
  1. Click on Create Key Pair and name it test-spark.
  1. Next, we need to give our user some special permissions, so on the...